Built on microservices, event-driven patterns, and AI orchestration. Designed for scale, reliability, and extensibility across cloud, hybrid, and on-premise deployments.
Technical Architecture
Each architectural layer is designed for independent scaling, fault tolerance, and clear domain boundaries.
Microservices-based platform designed for horizontal scalability and fault isolation. Each service owns its domain and communicates through event streams.
Sandboxed execution environment for AI agents with resource quotas, permission boundaries, and context isolation.
Parallel test execution framework supporting UI automation, API testing, and data validation with deterministic replay.
Machine learning pipelines for test planning, failure analysis, and pattern recognition backed by vector databases and graph stores.
Event sourcing and CQRS patterns enable complete audit trails, temporal queries, and reactive workflows across distributed services.
Real-time and batch analytics pipelines for quality metrics, trend analysis, and predictive insights.
Deployment Options
Choose the deployment model that fits your security, performance, and compliance needs.
Fully managed SaaS deployment with multi-tenant isolation
Deploy in your VPC with full control over networking and data
Run entirely within your data center for maximum control
Control plane in cloud, execution agents in your infrastructure
Technology Stack
Modern tech stack optimized for developer experience, performance, and reliability.
Data Flow
From initial discovery through execution to developer action generation, data flows through specialized services.
Start with your API specs, test environments, and release workflow. AI Test Harness will orchestrate agents, execute plans, and ship developer-ready remediation insights.